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Rudin, Cynthia [Author] ; Shaposhnik, Yaron [Other]

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models : Application to Credit-Risk Evaluation

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https://ssrn.com/abstract=3395422

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[S.l.]: SSRN, [2019]
Ban, Gah‐Yi [Author]; Rudin, Cynthia [Author]

The Big Data Newsvendor : Practical Insights from Machine Learning

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https://ssrn.com/abstract=2559116

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[S.l.]: SSRN, 2019
Rudin, Cynthia [Author]; Zeng, Jiaming [Author]; Ustun, Berk [Author]

Interpretable Classification Models for Recidivism Prediction

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http://arxiv.org/abs/1503.07810

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2016

Published in: Royal Statistical Society: Journal of the Royal Statistical Society. Series A, Statistics in society ; 2016
McCormick, Tyler [Author]; Rudin, Cynthia [Author]; Madigan, David [Author]

A Hierarchical Model for Association Rule Mining of Sequential Events : An Approach to Automated Medical Symptom Prediction

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https://ssrn.com/abstract=1736062

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[S.l.]: SSRN, 2011

Published in: MIT Sloan Research Paper
Han, Bin [Author]; Wang, Caroline [Author]; Rudin, Cynthia [Author]; Patel, Bhrij [Author]

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction

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http://arxiv.org/abs/2005.04176

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2021
Bravo, Fernanda [Author]; Rudin, Cynthia [Author]; Shaposhnik, Yaron [Author]; Yuan, Yuting [Author]

Simple Rules for Predicting Congestion Risk in Queueing Systems : Application to ICUs

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https://ssrn.com/abstract=3384148

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[S.l.]: SSRN, 2020
Fürnkranz, Johannes [Author]; Hüllermeier, Eyke [Author]; Rudin, Cynthia [Author]; Slowinski, Roman [Author]; Sanner, Scott [Author] ; Johannes Fürnkranz and Eyke Hüllermeier and Cynthia Rudin and Roman Slowinski and Scott Sanner [Contributor]

Preference Learning (Dagstuhl Seminar 14101)

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2014
Rudin, Cynthia [Author]; Letham, Benjamin [Author]; Kogan, Eugene [Author]; Madigan, David [Author]

A Learning Theory Framework for Association Rules and Sequential Events

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https://ssrn.com/abstract=1868446

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[S.l.]: SSRN, 2011
Liu, Jerry [Author]; O'Hara, Nathan [Author]; Rubin, Alexander [Author]; Draelos, Rachel [Author]; Rudin, Cynthia [Author]

Metaphor Detection Using Contextual Word Embeddings From Transformers

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https://aclanthology.org/2020.figlang-1.34

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2020

Published in: Workshop on Figurative Language Processing (2. : 2020 : Online): Figurative Language Processing - proceedings of the second workshop ; (2020), Seite 250-255
Gregory, Hunter [Author]; Li, Steven [Author]; Mohammadi, Pouya [Author]; Tarn, Natalie [Author]; Draelos, Rachel [Author]; Rudin, Cynthia [Author]

A Transformer Approach to Contextual Sarcasm Detection in Twitter

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https://aclanthology.org/2020.figlang-1.37

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2020

Published in: Workshop on Figurative Language Processing (2. : 2020 : Online): Figurative Language Processing - proceedings of the second workshop ; (2020), Seite 270-275
Rudin, Cynthia

Learning Theory: Ranking with a P-Norm Push

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Springer Berlin Heidelberg, 2006

Published in: Learning Theory
Edwin Agnew; Cynthia Rudin

Can a Computer Really Write Poetry?

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2022

Published in: Harvard Data Science Review (2022)
Rudin, Cynthia; Shaposhnik, Yaron

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation

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Elsevier BV, 2019

Published in: SSRN Electronic Journal
Rudin, Cynthia; Ertekin, Şeyda

Learning customized and optimized lists of rules with mathematical programming

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Springer Science and Business Media LLC, 2018

Published in: Mathematical Programming Computation
Rudin, Cynthia; Ustun, Berk

Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice

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Institute for Operations Research and the Management Sciences (INFORMS), 2018

Published in: Interfaces
Ustun, Berk; Rudin, Cynthia

Supersparse linear integer models for optimized medical scoring systems

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Springer Science and Business Media LLC, 2016

Published in: Machine Learning
Tulabandhula, Theja; Rudin, Cynthia

Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge

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Springer Science and Business Media LLC, 2015

Published in: Machine Learning
Moghaddass, Ramin; Rudin, Cynthia

The latent state hazard model, with application to wind turbine reliability

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Institute of Mathematical Statistics, 2015

Published in: The Annals of Applied Statistics
Moghaddass, Ramin; Rudin, Cynthia

THE LATENT STATE HAZARD MODEL, WITH APPLICATION TO WIND TURBINE RELIABILITY

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Institute of Mathematical Statistics, 2015

Published in: The Annals of Applied Statistics
Kim, Been; Rudin, Cynthia

Learning about meetings

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Springer Science and Business Media LLC, 2014

Published in: Data Mining and Knowledge Discovery

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